Literature DB >> 29054111

Dipeptidyl peptidase 4 inhibitors attenuates the decline of skeletal muscle mass in patients with type 2 diabetes.

Ryotaro Bouchi1, Tatsuya Fukuda1, Takato Takeuchi1, Yujiro Nakano1, Masanori Murakami1, Isao Minami1, Hajime Izumiyama1,2, Koshi Hashimoto1,3, Takanobu Yoshimoto1, Yoshihiro Ogawa1,4.   

Abstract

BACKGROUND: Activation of dipeptidyl peptidase 4 has been reported to be associated with impairment of insulin signalling in skeletal muscle, presumably leading to loss of muscle function. This study was aimed to investigate whether the use of dipeptidyl peptidase 4 inhibitors (DPP4i) could attenuate the progressive loss of muscle mass in patients with type 2 diabetes.
METHODS: A total 105 patients with type 2 diabetes (mean age 62 ± 12 years; 39% female) were studied in this retrospective observational study. To reduce the bias due to confounding variables, propensity-score matching analysis was performed. Change in skeletal muscle index measured by the whole body dual-energy X-ray absorptiometry at 1-year follow-up was evaluated. One-year changes in visceral and subcutaneous fat area and liver attenuation index were also determined by abdominal computed tomography.
RESULTS: Overall, 37 of 105 (35.2%) patients were treated with DPP4i. The estimated change in skeletal muscle index in patients with DPP4i was significantly higher than that in patients without (0.05 ± 0.06 vs -0.10 ± 0.04 kg, P = .046). In a propensity-matched population (N = 48), the same finding was observed (0.04 ± 0.03 in DPP4i versus -0.12 ± 0.03 kg in non-DPP4i, P = .033). There were no significant differences in changes of visceral and subcutaneous fat area and liver attenuation index between patients with DPP4i and those without.
CONCLUSIONS: Our data suggest the potential of DPP4i to prevent the progressive loss of muscle mass with ageing in patients with type 2 diabetes.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DPP4 inhibitor; sarcopenia; type 2 diabetes

Mesh:

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Year:  2017        PMID: 29054111     DOI: 10.1002/dmrr.2957

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


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